andy
8f0b604256
Affected files: .obsidian/graph.json .obsidian/workspace-mobile.json .obsidian/workspace.json STEM/AI/Neural Networks/Activation Functions.md STEM/AI/Neural Networks/CNN/CNN.md STEM/AI/Neural Networks/CNN/Convolutional Layer.md STEM/AI/Neural Networks/CNN/Examples.md STEM/AI/Neural Networks/CNN/GAN/CycleGAN.md STEM/AI/Neural Networks/CNN/GAN/DC-GAN.md STEM/AI/Neural Networks/CNN/GAN/GAN.md STEM/AI/Neural Networks/CNN/GAN/StackGAN.md STEM/AI/Neural Networks/CNN/GAN/cGAN.md STEM/AI/Neural Networks/CNN/Inception Layer.md STEM/AI/Neural Networks/CNN/Max Pooling.md STEM/AI/Neural Networks/CNN/Normalisation.md STEM/AI/Neural Networks/CV/Data Manipulations.md STEM/AI/Neural Networks/CV/Datasets.md STEM/AI/Neural Networks/CV/Filters.md STEM/AI/Neural Networks/CV/Layer Structure.md STEM/AI/Neural Networks/Weight Init.md STEM/img/alexnet.png STEM/img/cgan-example.png STEM/img/cgan.png STEM/img/cnn-cv-layer-arch.png STEM/img/cnn-descriptor.png STEM/img/cnn-normalisation.png STEM/img/code-vector-math-for-control-results.png STEM/img/cvmfc.png STEM/img/cyclegan-results.png STEM/img/cyclegan.png STEM/img/data-aug.png STEM/img/data-whitening.png STEM/img/dc-gan.png STEM/img/fine-tuning-freezing.png STEM/img/gabor.png STEM/img/gan-arch.png STEM/img/gan-arch2.png STEM/img/gan-results.png STEM/img/gan-training-discriminator.png STEM/img/gan-training-generator.png STEM/img/googlenet-auxilliary-loss.png STEM/img/googlenet-inception.png STEM/img/googlenet.png STEM/img/icv-pos-neg-examples.png STEM/img/icv-results.png STEM/img/inception-layer-arch.png STEM/img/inception-layer-effect.png STEM/img/lenet-1989.png STEM/img/lenet-1998.png STEM/img/max-pooling.png STEM/img/stackgan-results.png STEM/img/stackgan.png STEM/img/under-over-fitting.png STEM/img/vgg-arch.png STEM/img/vgg-spec.png STEM/img/word2vec.png
31 lines
635 B
Markdown
31 lines
635 B
Markdown
# Fully Convolutional
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- Remove max-pooling
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- Use strided upconv
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- Remove FC layers
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- Hurts convergence in non-classification
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- Normalisation tricks
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- Batch normalisation
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- Batches of 0 mean and variance 1
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- Leaky ReLu
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# Stages
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## Generator, G
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- Synthesise 'fake' images
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- From noise
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## Discriminator, D
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- Discriminator is a classifier
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- Is image fake or real
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![[gan-arch.png]]
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![[gan-arch2.png]]
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![[gan-results.png]]
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# Training
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![[gan-training-discriminator.png]]
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![[gan-training-generator.png]]
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# Code Vector Math for Control
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![[cvmfc.png]]
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- Do AM to derive code for an image
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![[code-vector-math-for-control-results.png]] |